An integral GSCM index for assessment of environmental performance in manufacturing companies

An investigation of antecedents and consequences of green value internalisation among sampled UK enterprises

Despite the growing popularity of the concept of green value internalisation, research on how this concept is being accomplished at the enterprise level is still limited. The purpose of this study is to address this knowledge gap by drawing from previously known concepts of green value and value internalisation. It examines the antecedents and consequences of green value internalisation and evaluates how these environment-leaning approaches impact competitive advantage. This study uses the resource-based view and the stakeholder theory as theoretical lenses in linking green value internalisation to its antecedents and how these impact competitive advantage. A two-step approach involving a measurement model and a structural model was used to analyse survey data from 213 UK enterprises to validate the research hypotheses. Hypotheses testing shows that green value internalisation has a positive and significant impact on green criteria development. The results also show that external pressure positively and significantly affects green value internalisation. These findings extend prior knowledge by establishing the level of significance in the relationship among the antecedents and consequences in the research model. The research design for this study draws from a systematic literature review. The study offers rigorous empirical insights for implementing green value internalisation as a value-creating strategy. However, the antecedents and consequences examined in this study may not capture in detail all underlying constructs. Hence future studies should proffer valid and reliable instruments for these constructs. The findings provide managers from enterprises across a broad industry size range seeking to implement green value internalisation with resources for embedding an enterprise-level pro-environmental strategy.

Effects of the green supply chain management practices on firm performance and sustainable development

The idea of sustainable development and green supply chain management is considered at the underlying stage in the research and academic fields, particularly in the rising economies of Asia. This research investigates the persuasive force of the firm's green supply chain management practices with the mediating part of the competitiveness and investment recovery. Data was collected from the 12 ISO 9001 and ISO 14001 leather industries based in Pakistan. We distributed the 350 questionnaires at 12 leather industries, and the questionnaire was also transferred on Google Forms, and 50 questionnaire mail to different individuals who work in leather industries of other cities of Pakistan; out of 350 questionnaires, 183 were filled, and the remaining questionnaires were incomplete, and out of 50 emails, we get the response of 33 emails, and evaluated the model of this study by using the partial least square structural equation modeling PLS-SEM. We interact with the employees of leather industries and try to understand how they are following the green practices in their firms. This research uses resource dependence theory as the theoretical base. This study elaborates how the organization's behavior is affected by the external resources of the corporation. The actual outcomes uncover that green supply chain management activities positively impacting the firm's performance, where competitiveness and investment recovery play a mediating role among intra-organizational green practices.

Effect of lean manufacturing tools on sustainability: the case of Mexican maquiladoras

The Mexican maquiladora industry is applying Lean Manufacturing Tools (LMT) in its production lines; however, few studies have investigated its relationship with sustainability (social, economic, and environmental). This paper presents a second-order structural equation model (SEM) relating 8 LMT integrated into three independent latent variables: continuous improvement (Kaizen and Gemba), supporting tools (Andon, visual management, and Poka-yoke), and machinery and equipment (total productive maintenance, overall equipment effectiveness, and Jidoka) that are related to social, economic, and environmental sustainability as dependent variables. The model is validated with information obtained from 249 companies using partial least squares. Findings show that the application of LMT in the Mexican maquiladora industry avoids the generation of waste and reprocessing. Likewise, the improvement of production processes reduces the waste emitted into the environment and reduces energy consumption. Also, when companies have environmental programs, the work environment is safe, and labor relations are improved, increasing morale and the commitment to work for the company, gaining economic and ecological benefits.

Green Supply Chain Management Implemented by Suppliers as Drivers for SMEs Environmental Growth with a Focus on the Restaurant Industry

This study was designed to better understand how restaurants can achieve effective environmental performance by focusing on their business relationships with suppliers that implement green supply chain management (GSCM). Restaurant suppliers’ GSCM was particularly assessed as a two-dimensional concept (external and internal) to explore if those two GSCM practices could possibly encourage restaurant ethical attitudes, thereby encouraging cooperative behaviors (‘joint action’, ‘information sharing’ and ‘flexibility in arrangement’) toward green suppliers. A total of 259 responses obtained from restaurant owners/managers were used for our analysis. Results revealed a significant effect of external GSCM on restaurant ethical attitudes, while internal GSCM was found to have no measurable effect. Further it was found that restaurant ethical attitudes facilitated cooperative behaviors toward green suppliers. More specifically, restaurant ‘information sharing’ and ‘flexibility in arrangement’ significantly improved their environmental performance; however, ‘joint action’ had no such effect. Based on our findings, several important theoretical and practical implications are proposed for restaurants to “go green” more effectively.

Environmental performance in manufacturing companies: a benchmarking study

Purpose

This study aims to explore manufacturing companies' environmental performance with the green supply chain management (GSCM) approach, taking into account company size, geographic region, industrial sector, target market and environmental management maturity level.

Design/methodology/approach

Based on the literature review, five propositions were put forward. An empirical study, using survey research, was completed. The survey questionnaire was designed with 46 items, using both the literature and industry expert input. Statistical analysis was employed to test the propositions in a sample of 116 Colombian manufacturing companies.

Findings

The test results indicate that significant environmental performance differences exist, given company sizes and target markets. However, no statistical significance was found involving the geographic region or industrial sector. Significant differences were found in maturity levels between the three clusters identified: reactive, preventive and proactive. Although the companies in the proactive group performed better, they still lagged in green practices that implied integration with suppliers and customers.

Practical implications

This study provides empirical evidence regarding the profile of those manufacturing companies that achieve better environmental performance. Moreover, the results yield insights for the generation of continuous improvement processes in companies with lower performance.

Originality/value

Few empirical studies have been carried out in GSCM that integrate specific factors in the environmental performance assessment of manufacturing companies in developing countries. On the other hand, the results permit the identification of the profile of those companies with greater maturity in their environmental practices.

Identification of Key Performance Indicators for Hospital Management Using an Extended Hesitant Linguistic DEMATEL Approach

Performance analysis is of great significance to increase the operational efficiency of healthcare organizations. Healthcare performance is influenced by numerous indicators, but it is unrealistic for administrators to improve all of them due to the restriction of resources. To solve this problem, we integrated double hierarchy hesitant fuzzy linguistic term sets (DHHFLTSs) with the decision-making trial and evaluation laboratory (DEMATEL) and proposed a DHHFL– DEMATEL method to identify key performance indicators (KPIs) in healthcare management. For the developed approach, the judgments of experts on the inter-relationships among indicators were represented by DHHFLTSs, and a novel combination weighting approach was proposed to obtain experts’ weights in line with hesitant degree and consensus degree. Then, the normal DEMATEL method was extended and used for examining the cause and effect relationships between indicators; the technique for the order of preference by similarity to the ideal solution (TOPSIS) method was utilized to generate the ranking of performance indicators. Finally, the feasibility and effectiveness of the proposed DHHFL–DEMATEL approach were illustrated by a practical example in a rehabilitation hospital.

An integrated framework for the assessment of inbound supply risk and prioritization of the risk drivers

Purpose

The purpose of this paper is to present a framework for identifying various inbound supply-risk factors and analyzing its indicators considering the contextual relationship between them. This study additionally proposes a framework for developing an overall inbound supply-risk score considering a real-life case of the electronics supply chain (ESC) in the Indian context.

Design/methodology/approach

In total, 32 risk indicators are identified by a systematic literature review approach and are validated by supply chain practitioners/experts and further categorized into six main risk factors. A hybrid multi-criteria decision-making-based DANP (DEMATEL and ANP) framework is employed to develop the overall inbound-supply-risk score (ISRS) and to prioritize the risk indicators. Indian ESC is chosen as a viable case study to demonstrate the effectiveness of the proposed framework.

Findings

The outcomes from the study reveal that the overall ISRS in the ESC is 36 percent and additionally forewarns critical inbound-supply-risk factors such as supplier performance, product, and buyer organization. Further, the study also identifies the most significant risk indicators such as price margin, investment, on-time delivery, order fulfillment and design changes for ESC.

Research limitations/implications

Supply chain practitioners can adopt this framework as a useful inbound supply-risk assessment tool. Moreover, the hybrid framework will address subjectivity and interrelations among various factors through experts’ judgments. The results will assist the managers to have better insights on the critical risk factors and their complicated interrelationships and further strategize action plans to nullify the impact of incoming risks. This study mainly focused on risk identification and assessment of electronics inbound-supply-risk indicators in the Indian context. The framework can be used for other manufacturing and service industries, albeit the results derived are in the context of a developing country.

Originality/value

This paper provides an effective risk assessment framework for the supply chain practitioners/managers to develop a decision-support system for inbound-supply-risk quantification and prioritization of risk factors in the context of the ESC.